TY - GEN
T1 - Demo
T2 - 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2025
AU - Shaikhanov, Zhambyl
AU - Al-Madi, Mahmoud
AU - Liao, Jy Chin
AU - Chen, Hou Tong
AU - Chang, Chun Chieh
AU - Addamane, Sadhvikas
AU - Mittleman, Daniel M.
AU - Knightly, Edward
N1 - Publisher Copyright:
© 2025 Owner/Author.
PY - 2025/6/30
Y1 - 2025/6/30
N2 - Wireless eavesdropping on phone conversations has become a major security concern as attackers repurpose advanced wireless capabilities in 5G and beyond featuring higher frequencies and higher sensing resolution. Recent studies have demonstrated that attackers can exploit off-The-shelf millimeter-wave radars to covertly detect even micron-scale vibrations of smartphones caused by the earpiece during the phone conversation, eavesdropping on audio information without the victim ever noticing. In our IEEE S&P'25 paper, we present a new architecture that not only thwarts such attacks but also injects false signatures to fool eavesdroppers into believing they have succeeded. Here, we demonstrate the eavesdropping countermeasure technique that enables the user to hide his private acoustic signals and simultaneously inject an alternative signal via a low-profile, reconfigurable metasurface. We present a metasurface-based audio encoding method that generates artificial audio-vibration signatures to send deceptive audio information to eavesdroppers. We showcase experimental audio samples from both the attack and the proposed countermeasure, which transforms defensive strategies from merely reactive to proactively deceptive.
AB - Wireless eavesdropping on phone conversations has become a major security concern as attackers repurpose advanced wireless capabilities in 5G and beyond featuring higher frequencies and higher sensing resolution. Recent studies have demonstrated that attackers can exploit off-The-shelf millimeter-wave radars to covertly detect even micron-scale vibrations of smartphones caused by the earpiece during the phone conversation, eavesdropping on audio information without the victim ever noticing. In our IEEE S&P'25 paper, we present a new architecture that not only thwarts such attacks but also injects false signatures to fool eavesdroppers into believing they have succeeded. Here, we demonstrate the eavesdropping countermeasure technique that enables the user to hide his private acoustic signals and simultaneously inject an alternative signal via a low-profile, reconfigurable metasurface. We present a metasurface-based audio encoding method that generates artificial audio-vibration signatures to send deceptive audio information to eavesdroppers. We showcase experimental audio samples from both the attack and the proposed countermeasure, which transforms defensive strategies from merely reactive to proactively deceptive.
KW - audio information
KW - mmwave radar
KW - programmable metasurface
UR - https://www.scopus.com/pages/publications/105012097170
UR - https://www.scopus.com/pages/publications/105012097170#tab=citedBy
U2 - 10.1145/3734477.3736155
DO - 10.1145/3734477.3736155
M3 - Conference contribution
AN - SCOPUS:105012097170
T3 - WiSec 2025 - Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 302
EP - 303
BT - WiSec 2025 - Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
Y2 - 30 June 2025 through 3 July 2025
ER -